Eden AI vs SGLang

Eden AI provides a unified API for accessing AI models from multiple providers, with more than 500 models listed on its homepage. Providers named include OpenAI, Mistral, Gemini, and Claude. Its specialized capabilities include OCR, speech, vision, and translation, among other tasks. Teams can compare providers by price, performance, and processing region; automatic fallback can respond when a provider fails or reaches its limits. Integrations listed include LangChain, Haystack, n8n, Make, Zapier, Bubble, and the OpenAI Python and TypeScript/JavaScript SDKs. Eden AI says it is SOC 2 and ISO 27001 certified and offers zero data retention by default. Its DPA says prompts and outputs are processed transiently, not stored by default, and customer data is not used to train models or sold. A dedicated EU endpoint is available for eligible workloads, depending on compatible providers and models. The AI API Gateway has no subscription, but API calls are billed at provider prices; a 5.5% platform fee applies when purchasing credits. The self-serve plan includes chat support with a 48-hour response time on working days. Advanced AI Platform pricing is custom and requires contacting sales. Eden AI was founded in 2021 and is headquartered in Lyon, France.

SGLang is a free, open-source inference framework for serving large language, vision-language and diffusion models. It targets agentic workloads, reinforcement-learning rollouts and large-scale serving, from one GPU to distributed clusters. Runtime features include RadixAttention, prefix caching and multi-GPU parallelism. Listed optimizations include disaggregated prefill and decode, speculative decoding, a zero-overhead scheduler and optimized GPU kernels. Supported models include DeepSeek, Qwen, GPT-OSS, Llama, Mistral and GLM. SGLang works with Hugging Face and OpenAI APIs and exposes OpenAI-compatible endpoints. It installs with pip or Docker and supports self-hosted deployment. Hardware support spans NVIDIA and AMD GPUs, Google TPUs, Intel GPUs and CPUs, Apple Silicon, Huawei Ascend NPUs and Moore Threads GPUs. SGLang Diffusion adds image and video generation. The Apache-2.0 license permits open-source use.